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guidelines for the efficient and automated design and optimization of small-scale turbomachinery. Required competences Strong background in model order reduction techniques, surrogate modeling
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Übersicht PhD on Quantum Computing × AI for Optimization 100%, Zurich, fixed-term Drucken We invite applications for a PhD position at the intersection of quantum computing and artificial
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PhD: Spatial Optimization of Land Use in Brazil Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 13
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Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications
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Knowledge Job Code 3637 Department Research Labs & Projects Employment Type Temporary/Contract Apply Now OCAD University acknowledges the ancestral territories of the Mississaugas of the Credit, the
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Post-Quantum Zero-Knowledge Proofs and Trustworthy AI School of Computer Science PhD Research Project Directly Funded UK Students Dr Prosanta Gope , Dr Behzad Abdolmaleki Application Deadline: 26
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 12 hours ago
) for a collaborative project with a starting date of April 1, 2020. The candidate will be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 21 hours ago
, and astrobiology. Description: We are seeking a postdoctoral researcher specializing in silicon detector characterization and optimization for high-performance space imaging applications. The
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optimization Experience with large-scale algorithm design and implementation Knowledge of decision making under uncertainty Ideally, some exposure to machine learning methods A passion for research
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cooperation, transparency and social responsibility are four keywords that embody our approach. Students, researchers and staff at SBE share real-world knowledge in order to devise solutions together to